Black Friday and Cyber ​​Monday have become an essential date throughout the Western world, which many brands use as a sales lever before entering the Christmas campaign. On the one hand, this is great news, because it indicates that the consumer is familiar and will actively seek discounts on these dates. But on the other hand, it also means that the market is increasingly saturated and it is difficult to make our brand stand out.

So that you can make the most of Black Friday 2020, in this article we are going to share with you a guide to digital marketing actions and best practices.

This year, due to the pandemic and lockdowns, Black Friday and Cyber ​​Monday will be more digital than ever. A Privalia study points out that the pandemic will make 89% of purchases be made through the internet.

First of all, sign up the dates for this year: Black Friday will be Friday, November 27, 2019, and Cyber ​​Monday on Monday, November 30, 2020.

What Are Black Friday And Cyber ​​Monday?

In 2019, the average spending of users who bought on Black Friday was a total of 262 euros, according to Cetelem. As for the most consumed products, they were: fashion and accessories (41.7% of Spaniards purchased this type of product) and telephony and electronics (28.7% of consumers opted for this purchase).

On the one hand, this is great news because it tells us that the consumer is familiar and will actively seek discounts on these dates. But on the other hand, it also means that the market is increasingly saturated and it is difficult to make our brand differentiate itself from the competition. Therefore, our objective below is to show you some strategic actions that will help you sell more on Black Friday 2020, despite the difficult situation we are going through.

First, to understand that concept, we must go back to its origins. It was born in the United States back in the 50s and it is always celebrated on the Friday after Thanksgiving Day. The reason is that this day is a holiday in the United States; that is, people do not work but stores take the opportunity to open and offer discounts to kick off the Christmas shopping season. Its success was so great that the stores managed to go from “red numbers” to “black numbers”, hence the name of the date.

In Spain, they wanted to implement it to encourage consumption before the holidays, in the midst of the economic crisis. But now it has become a day with its own entity and that serves to anticipate Christmas shopping.

On the other hand, Cyber ​​Monday is much more recent, since it was celebrated for the first time in 2005. It is celebrated on a Monday because at that time many users did not have high-speed Internet at home and therefore took the opportunity to make their purchases online at the office.

Therefore, we see that at first, the idea was to make physical purchases on Black Friday and digital on Cyber ​​Monday. But today this distinction is not so clear and offers can last a week or more.

But what will happen this atypical year? The habits and routines of users have changed dramatically. But this should not be seen as a negative. If you want to boost your sales on these important dates, all you have to do is adapt to these new consumer habits and implement online marketing strategies to these behaviours, to achieve good results.

Trends That Will Mark Consumer Behaviour This Year

These are 3 trends that companies should consider to adapt to the new habits and routines of consumers, marked by the coronavirus.

1. Increase In Online Sales

The physical stores should limit their traffic counts and if we add mobility restrictions imposed by the Government, this will push consumers to make their purchases online as companies begin scanning.

Therefore, eCommerce or online stores that are already fully experiencing a digital transformation in their companies will succeed this Black Friday and Cyber ​​Monday. In this sense, some factors that you should take care of our web loading speed, user experience and browsing. A page that takes more than 3 seconds will be a lost customer.

In addition, you must verify that the payment through the mobile works correctly and that the purchase process is intuitive for the user.

On the other hand, another upward trend linked to online sales that many consumers have used during confinement has been click-and-collect (click and collect). There are many purchases that are expected on these dates and that is why the consumer prefers to make sure that they receive their order. That’s why, according to Salesforce data, 56% prefer the click-and-collect option.

2. Users Show More Interest In Discounts Weeks Before

Now companies are going to offer big discounts a little earlier than in previous years. They aim to extend their offers overtime to motivate people to buy earlier and prevent them from leaving their purchases until the last minute.

If we think back years, most purchases were made the last week of November or the first of December. But now since October we already see how many business are offering irresistible discounts.

Prepare your bid strategy in advance and check logistics to communicate shipping deadlines. Likewise, flash offers are an effective strategy to attract customers, thus avoiding saturations on more specific dates.

3. More And More Users Spend More Time On Social Networks

As a result of the confinement, it has been detected that a high percentage of users are present on digital channels. Generations that previously did not pay attention to buy now are doing it. They enter social networks through their smartphones; so the scope is remarkable. These users belong to Generation X and Boomers.

This means that planning a social media strategy to promote sales on Black Friday is something you should take into account if you want to get more sales. And you should diversify audiences more than last year.

On the other hand, since the confinement, if there is something we can highlight, it has been the increase in users on TikTok, who have seen in this social network a way to entertain themselves with funny videos. On the other hand, video marketing is the format that is hitting hard on any social network.

How To Improve Your Black Friday And Cyber ​​Monday Actions In 2020

Here are some tips we give you to organize Black Friday and Cyber ​​Monday 2020 in advance:

1. Google Ads

Google Search, Display and Shopping ads can bring you a lot of qualified traffic and conversions. So write down these tips:

• Create specific ads for Black Friday and Cyber ​​Monday: Create new Black Friday ads within the structures you already have and pause the daily ads.
• Raise the budget: By raising your budget and bids, you will appear higher in searches and increase clicks and conversion.
• Try adding the keyword “Black Friday” to the ad groups that generate the most sales. Our recommendation is that you use “Black Friday + keyword” with modified broad match.
• Add promo extensions to your ads; This gives you an extra line to add a description of the offer and its validity.
• Add site link extensions: You can use them to include specific products and special offers.
• Make reference to Black Friday in the copy of the ads. This term is a purchase trigger.
• It uses accelerators to create a feeling of urgency and encourage the consumer to buy.
• Please refer to the number of products in stock. An alternative idea to awaken the feeling of urgency and sell faster.
• Create a new remarketing audience with users who visit your website during the weekend and use it to launch campaigns with higher bids.

2. Social Ads

To get the most out of this Black Friday, extend the campaign to ads on social networks. Here are some tips:

• Launch attractive offers to combat saturation: To ensure conversions you must have a competitive offer and include accelerators to motivate the user to click.
• Create campaigns focused on sales: On these dates, consumers are predisposed to buy, so take advantage of the momentum with conversion-to-sale campaigns (web or app) and pause interaction or lead generation campaigns.
• Use remarketing with discounts: Go to the users who have visited your website and offer them a discount on the products they have been looking at or that they have left abandoned in the cart.

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What exactly are these essential jobs, and what kind of work could be for you? Well, that’s a good question. Most of these jobs are frontline work, where many aren’t comfortable working. Check out this list of essential jobs you can easily find anywhere.

Janitors

No one gets unappreciated as much as janitors. The need for custodial services is an important thing anywhere. What’s more important is how valuable they are now for keeping everything clean and for keeping the lights on. The janitorial services offered by the Commercial Cleaning Services – Seattle Experts help keep people safe and properties clean. These jobs are in high demand and are important anywhere you look.

Retail

Working in retail is another important job, especially cashiers. Many people are still uncomfortable working in public, but these workers are doing their best to ensure that everyone’s shopping needs are still being met. Retail workers provide an invaluable service even during the worst of times, which makes them so important.

Fast Food

Like retail, fast food workers don’t get the credit they deserve. You might just view it as a menial job, but getting your food prepared and safely given to you is essential. The increase in people ordering food has jumped a lot, and these workers are helping facilitate that. Keeping you safe with proper hygiene practices and giving you your food fast is what they do. These jobs are also available anywhere as new restaurant franchises pop up anywhere.

Internet Technicians

Going around and helping people keep their cable, satellite, and Internet running has never been more important than it is now. More people at home means more need for entertainment, and these technicians are helping keep everyone’s Internet going for that specific reason. This is an essential job that can pay very well, and has a lot of interest from rural to urban places alike.

Teachers

Whether we agree or not on going back to school, teachers are putting their health on the line to keep teaching and help the kids. This has always been a valued job, and now, they have the added importance of being there for people even during the time of a global crisis. Teaching jobs can pay very well, depending on the area, but there’s always a need for teachers. Even in remote areas, this job is highly important, and it goes to show how much people love teachers.

Essential workers are helping people get back to normal by providing their best effort to make us safe. Whether it’s a job working in retail or fast food, or a job in teaching, these are important positions that help maintain some normalcy in troubling times.

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The American firm highlights the following major trends:

Top 10 Tech Trends

1. Hyper-automation

The automation carried by machine learning technologies (machine learning, ML) gaining momentum in the business. Understanding and measuring the reach of automation mechanisms is part of an approach Gartner analysts call “hyperautomatization.” This is based on a set of tools, including robotic process automation (RPA) solutions. The human is involved.

2. UX And Mixed Reality

User experience (UX) and interactions with the digital world are changing. The spread of platforms and conversational agents ( chatbots ), as well as virtual reality (VR), augmented (AR) and mixed (MR), contributes to this evolution. In addition, the machine and its algorithms allow the market to better understand and anticipate user intention. A movement that should gain momentum over the next decade, according to the Gartner firm.

3. Skills And Low Code

The upgrading of skills involved in the dissemination of AI and advanced data analysis (data & analytics) is another strong trend highlighted by Gartner. Engineers and developers are not the only ones targeted. This change also involves an extended portfolio of solutions ( low code, no-code, etc.) allowing “non-technical” profiles to create, manage and operate applications.

4. Augmented Human

Providing humans with improved cognitive and physical capacities is an old mantra. It should gain momentum in the coming years. Gartner even speaks of “consumerization” and extension to the work environment.

5. Data Traceability

Data protection is a thriving market driven by compliance requirements. Businesses can also benefit from the ethical expectations of audiences. Four areas are particularly promising, according to Gartner: AI and machine learning, confidentiality, data ownership and control and, finally, the inclusion of ethics from the design of a project/product/service.

6. Edge Computing

In connection with the Internet of Things (IoT), computing at the edge of the network (Edge computing) is a market in which the heavyweights of IT technologies and services (HPE, IBM, Microsoft, AWS, etc.) are investing billions of dollars. Google…

To process and store data where it is produced.

7. Distributed Cloud

The cloud is expected to evolve from a centralized model to a distribution of public cloud services from different locations. The cloud provider assuming responsibility for the service (operation, maintenance, updates, new features, etc.)

8. Connected And Autonomous Objects

They can be robots, drones, vehicles, ships, appliances, etc. So-called “autonomous” objects rely on AI to perform tasks that were initially performed by humans. The evolution of regulations should allow them to gradually gain ground in the public space, according to Gartner.

9. Blockchain In Practice Tomorrow

Within 5 to 10 years, decentralized transaction management technology ( blockchain or blockchain ) is expected to transform the business of most industries, predicts the research firm.

10. Security Driven By AI

Security solutions based on artificial intelligence and machine learning are gaining ground in enterprises. The transition from proof of concept to large-scale deployment is not easy. Still, according to other analysts (Capgemini Research Institute), nearly 7 in 10 IT decision-makers believe that without AI their organization will not be able to respond to future cyber attacks.

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Conducting an analysis of IoT data will help control data flooding and drive business value.

However, IoT analytics continues to face encouraging expectations. The degree of digitization of the industry in 2020 is expected to be 19% in Spain compared to 8% in 2017.

As the volume of data collected from sensors, devices, and other endpoints increases. The potential business value you can derive from this data continues to grow exponentially.

Analyzing the data is the key to obtain important and useful information from the entire torrent of data that reaches us, and thus be able to apply it to business needs. However, an IoT data architecture that is tailored to your purpose is required to properly collect the important insights.

The key to moving towards digital transformation is to get an analysis, that is, any mechanism that generates information from data. Such mechanisms range from simple to complex, mechanisms could include leveraging signal processing techniques or the use of advanced machine learning (ML). Any of these mechanisms for extracting information is considered ‘analytic’, and this analytics can be leveraged at any point in the IoT solution architecture.

The commercial value of IoT is based on data, specifically, on extracting and exploiting the business value of the enormous volumes of information generated by a large number of sensors and devices currently implemented. Data analytics drives business value and operational efficiency by enabling new ways to leverage large amounts of IoT data and by reducing the overhead of moving large amounts of data across a network.

IoT Needs New Infrastructure

IoT is creating an unprecedented amount of data in the company in terms of volume and speed, to extract value from this data, the data analysis architecture of the company must be renewed.

To act on IoT data in a timely manner, real-time streaming or analysis is required. The need to incorporate new analysis methods, such as streaming analysis and new infrastructure, is essential for companies.

The analysis that is carried out with IoT has some unique requirements compared to the analysis for other types of data. This includes the format of the data, the richness of the data, the sensitivity to time, where the data is stored and how long it is stored.

The Need For An IoT Data Analysis Platform

The key need for data analytics is to bridge the gap between data generation in the physical world and the need for action, whether in the physical or digital world.

Since not all data is neatly stored in a database, every device that produces data has to be catalogued, this is where IoT solutions come in.

We are faced with a number of security and privacy problems so we have to be able to have our IoT infrastructure ready to protect the system and protect data, so companies need faster, more flexible network management, achieve greater performance and safety.

Industries that are encompassing IoT analysis include energy exploitation (eg oil and gas), however other key industries such as manufacturing and transportation are becoming increasingly active in assessing IoT analysis

But what can be gained in an organization? The objective is to gain in efficiency, better adapt production and supply to demand, integrate the entire value chain of the company, decentralize decision-making, accurately predict results … This methodology allows 2.9% growth in the annual turnover of the companies that bet on an analysis of the data with IoT, as well as a 4.1% decrease in the costs linked to production.

Clients use the platform ( IDbox RT ) to obtain and store data embedded in devices to make decisions almost in real-time. The sensors send data over a network to the connected gateways. Data is captured and stored in order to be able to make decisions in real-time and to be more efficient so that customers can create a rule to guarantee that an email is sent to an administrator when a machine goes down or has a fault or when the temperature of a machine increases.

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Its effectiveness is revealed as a necessary solution to be able to work seamlessly with data, export it and, ultimately, protect it against internal and external threats.

If, on the one hand, data masking policies seek to create operational data sets for non-productive environments, and do it by achieving consistent information, on the other hand, their objective is to do it in a safe way, fulfilling both the moral obligation to preserve it As with the data privacy regulations and other current legislation related to the organization, something even more priority for companies since the entry into force of the GDPR.

Not surprisingly, data privacy and security is one of the fundamental pillars that must be met to comply with standards that guarantee security in IT environments and, from a general approach, also to face challenges that, ultimately, , even the survival of the organization depends.

Data Masking Tools: The Key To Security

The importance of data masking tools is related to a double utility, which we will explain in the following lines:

Avoid non-compliance with regulations: data masking solutions help to ensure compliance with regulatory laws on the protection of data of customers, suppliers or, for example, the organization’s own employees.

Its function avoids the company high fines in case of possible inspections. In this section, security is also linked to the moral obligation of any organization to protect private data, in particular, and sensitive data in general.

Avoid the risk of leakage: the data masking blocks exposure of sensitive data production to unauthorized users, reducing the risk of leakage of critical data, moreover, far more frequent than theft or cyber-attacks.

In another order, it should be noted that the cloud is a great opportunity to reduce infrastructure costs but, at the same time, it entails new security risks for data. In this case, too, data masking can be a practical solution that makes this possible, while ensuring that the applicable legal provisions are respected.

In short, it is about applying data security policies that guarantee that the data that resides in the organization is properly protected. In this regard, data masking should be part of the work routine of all organizations that handle sensitive data, a concept that is variable in terms of confidentiality, but that, nevertheless, at the legal level has very well defined guidelines when it comes to of personal information.

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In 2018, according to figures managed by the international consultancy Gartner, 846 million dollars were invested in RPA, 63.1% more than in 2017, making it the fastest-growing segment of the business software market.

But its cycle seems to be on the rise, specialists predict that by 2022 the RPA figures will continue to grow and increase until reaching 2.4 billion dollars.

What Is RPA And Why Is It Important?

The use of specialized software during the automation of business operations, with the aim of reducing human intervention, is called: RPA – Robotic Process Automation.

RPAs bring great benefits to businesses: they speed up processes, relate applications, eliminate errors and reduce costs. We could say that RPAs have proven to be highly effective. However, the greatest potential for achieving a high return on investment (ROI) depends mainly on whether the RPA meets the needs and objectives of the company.

Robotic Process Automation software can optimize its potential with the boost of AI ( Artificial Intelligence ), but not all use this technology. This software is a first step to start a path to an even bigger breakthrough.

Steps To Consider During The Implementation Of A Robotic Process Automation

To successfully launch an initiative with RPA should not be seen only as a way to reduce costs. It is necessary to have an action strategy for the implementation, evaluate the possible cases of use of the tool in the organization and, in addition, focus on activities that end up generating returns (ROI) and frequent income in the company.

It is also important to clearly establish the expectations of what can be done with the RPA and use the software to support the digital transformation strategy within the organization, in order to advance automation plans within the company.

Also Read: The Importance Of Robotic Process Automation (RPA) In Human Resources

How To Identify Processes were To Introduce RPA?

What is the best strategy to optimally evaluate and identify the processes where RPA software can deliver positive results in your business? Initially, it is necessary to know in detail each and every one of the processes where you are considering automating. This, although it seems a trivial task, is a fundamental axis for the success of the project.

Automation is based on executing clear and defined processes. If the person or department in charge of leading the project is not clear about the process, the RPA will not be entirely useful. Knowing all the layers of the process well before implementing the “Robotic Process Automation” will avoid mistakenly automating functions and will speed up the process of creating the functionality map.

What Can Robotic Process Automation Software Do For Your Company?

Process automation with RPA helps companies on their path to digitization. Below we indicate some use cases in different departments:

• Finance: RPAs can be highly effective for audit requests, processing insurance claims or automating account closings and openings.
• Accounting: Companies can use RPA for general accounting and operational accounting, for creating transactional reports, or even for budgeting.
• Customer Service: An RPA can help companies better serve their customers by automating the tasks of checking requests, uploading and processing scanned documents, or verifying electronic signatures.
• Healthcare: With an RPA, healthcare-related companies can improve customer service, manage patient records, claims, and improve account management, billing, reporting, and results in analysis.
• Logistics, Supply and Production: An RPA can be used to automate order and payment processing, shipment monitoring, and to control inventory levels of merchandise.
• Human resources: The companies and departments in charge of human resources tasks benefit from the RPAs during the processes of incorporation and departure of personnel, for the correct updating of employee data and during the processes of monitoring hours worked.

Also Read: How To Improve Influencer Marketing With Artificial Intelligence

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Many programming languages are introduced in the It industry nowadays to maintain the low level (machine level) to high level (human level) languages. If you want to learn these languages like Python, C++, Machine Learning, AI, Data Science to become an expert then Intellipaat is the best option for online Data Science course, Machine learning, Python course, etc.

Currently, there are many types of programming language that are used depending on the objectives of the software to be developed. For example, web programming is currently booming. For this reason, the programming languages ​​that we call on the client-side (PHP and Python, for example) and on the server-side (Javascript) are the most widely used.

Next, we will review the most widely used types of language.

The programming languages ​​most used by software developers today are the following:

1. PHP

PHPPHP is an open-source programming language, focused on web development. Among the many things that can be done with PHP, we can highlight the creation of dynamic websites by being able to embed your code within HTML and its use as server-side scripts.

2. Java

Java is an object-oriented programming language that stands out for being cross-platform. Java code has the great advantage that it can be run on any device. Java is one of the most widely used languages today thanks to the use made of different platforms ( mainly smartphones, computers and tablets ). Here’s a great tutorial to learn how to code in Java.

Also Read: Top 10 Trending Technologies You Must Learn

3. Python

It is a very versatile open-source programming language, currently widely used for artificial intelligence and Big Data. The language is simple, easily readable and elegant, having a very short learning curve compared to other types of language. Python can also be used in practically any current operating system.

4. C / C ++

The C language and its C ++ extension are still one of the most widely used languages ​​today. Computer scientists choose it when you need powerful programming that even needs to go down to schedule some tasks in assembler. Despite having a high learning curve, it is still in great demand in programming in general and in videogames in particular.

5. Javascript

It is an interpreted programming language, widely used in client-side web programming. In addition to being very practical, it is capable of being executed in any browser, making it the most widely used language on the web. Javascript is cross-platform, object and event-oriented, and interpreted; that is, it does not need to be compiled.

6. C# and Visual Basic

They are two of Microsoft’s object-oriented programming languages that use its framework.net. They are widely used to create a wide variety of applications.

Objective-C

It is a C- based programming language intended for the development of applications for iOS and macOS. It is an object-oriented language with which most apps for the iPhone or iPad are developed.

Other Languages Programming

• We can highlight a list of other programming languages ​​that are widely used today:
• Ruby (interpreted where everything is an object).
• Swift (for iOS and macOS)
• SQL (to get information from a database).
• Delphi (Object Pascal).
• Perl (for CGI web applications).

As we have seen, today there are many types of high-level programming language. Low-level programming (machine and assembler language) is very complicated, so programmers use different high-level programming languages ​​to facilitate and speed up the development of their software projects.

Also Read: 5 Easiest And Most Affordable Way To Apply Machine Learning To Online Businesses

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Many companies, as well as individuals, want to adopt blockchain technology. Unfortunately, creating, configuring and operating a blockchain are complex tasks and most are discouraged by this difficulty.

According to a study by Gartner, because of the technical complexity of the blockchain, only 1% of corporate CIOs have adopted blockchain in their business and only 8% plan to adopt it in the short term. Nearly 77% do not even plan to take more interest in it. In order to facilitate the process, many startups and tech giants offer BaaS-type cloud services.

Definition Of BaaS or Blockchain As A Service

The BaaS or Blockchain as a Service (Blockchain as a Service) is a type of cloud service that allows users to build, host and use their own applications, contracts intelligent (smart) contracts and functions Blockchain.

The cloud service provider is responsible for managing the tasks and activities necessary to keep the infrastructure agile and operational. This type of service is based on the concept of SaaS (software as a service) and works in the same way.
It is part of a context in which the “servitization” economic models linked to Cloud Computing are increasingly popular, in the same way as Robotics as a Service (RaaS) for example.

BaaS or Blockchain As A Service: How Does It Work?

We talk about BaaS (Blockchain as a Service) when an external cloud service provider is responsible for setting up, configuring and managing a Blockchain technology infrastructure. By paying for a BaaS service, the customer instructs the supplier to set up and maintain the connected nodes of the blockchain.

The supplier takes care of the maintenance of the infrastructure and all the elements linked to the blockchain. Other related activities are also part of the service: bandwidth management, resource allocation, hosting, security features and protection against cyber attacks…

Thus, the BaaS model allows customers to focus only on the functionality of their blockchains rather than having to worry about performance and infrastructure issues at the same time.

The operation of a BaaS service can be compared to that of a web hosting service, where the customer pays a provider like Amazon Web Services or 1 & 1 to host his site on his servers rather than having to host it on his own computer and manage maintenance and infrastructure issues.

In this sense, the BaaS model could allow wider and deeper penetration of blockchain technology in companies of all industries. Whatever its size and sector of activity, a company can now outsource all technical support for the blockchain and focus on its objectives.

Also Read: Huawei Cloud Launches Blockchain Service Globally

BaaS or Blockchain As A Service: For The Best Suppliers

Most of the large tech companies have started to enter the BaaS market by offering their own services. Here are the best options available today.

Microsoft Azure Blockchain Service

In 2015, Microsoft was one of the first tech giants to offer a BaaS offer with Azure Blockchain Service. In November of the same year, Microsoft and ConsenSys joined forces to create the Ethereum Blockchain as a Service (EBaaS) on Microsoft Azure: a service designed to help users create their blockchain environments on the Azure Cloud.

In 2016, Microsoft collaborated with Blockstack Labs, ConsenSys and other developers to create a blockchain-based identity system that enables people, applications, products, and services to interoperate between different providers of cloud, blockchains and organizations. In 2017, the firm also launched the Enterprise Smart Contracts service offering users all the tools necessary to create their own Blockchain services.

Azure Blockchain Service allows you to develop, test and deploy secure blockchain applications. Thanks to modular and preconfigured options, application development time is greatly reduced. In addition, customers only pay for the resources they use such as computing power or data storage. Users can choose the most appropriate ledger to develop their solution: Corda, Ethereum, or Hyperledger Fabric.

IBM Blockchain Platform

In 2017, a Juniper Research study found that 60% of corporate IT managers consider IBM to be the market leader in blockchain. The IBM Blockchain Platform allows companies to quickly develop, govern and operate a blockchain ecosystem at a low cost on a flexible cloud platform.

It is possible to take advantage of a free trial offer. Thereafter, the Enterprise Membership Plan is offered for $1,000 per month for each peer deployed. Users benefit from premium support and a secure environment. This service is for example used by Walmart which uses it to improve the traceability and transparency of its supply chain.

Amazon Blockchain Templates

Blockchain Templates is the BaaS service of AWS, Amazon’s cloud. It facilitates the development of projects based on the blockchain. It is possible to create applications based on two different ledgers: Ethereum, or Hyperledger Fabric from the Linux Foundation. Ethereum is more oriented towards public applications, while Hyperledger Fabric is more suited to private cloud applications.

Launched in April 2018, this service appeared later than those of IBM or Microsoft. However, as the cloud market leader, AWS is able to shake its competitors.

Baidu Blockchain Open Platform

In early 2018, Chinese web giant Baidu launched its own BaaS platform. Directly based on a technology developed by him, this service aims to facilitate transactions and their tracing thanks to the distributed ledger technology.

Baidu cites several potential applications for this service. We can mention digital currencies, insurance management, digital invoicing or even bank credit management.

Huawei Blockchain Service

Best known for its telecommunications infrastructure and smartphones, Huawei recently launched a BaaS platform. It aims to help companies develop smart contracts using the blockchain.

This solution is based on the Hyperledger Fabric 1.0 ledger from Linux. The technology is used in particular for the supply chain, public services such as identity verification, and financial auditing.

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The Blockchain Service was launched in China by Huawei Cloud in early 2018. It allows developers and entrepreneurs to create, deploy and manage Blockchain applications on the Chinese giant’s cloud quickly and inexpensively.

According to Huawei, BCS can be used in most industries, including the Internet of Things, Big Data and finance. It can, for example, allow identity verification, food tracing, remote health care, data transactions, or even management of IoT devices.

There are already many Blockchain applications, but Huawei is doing well by positioning itself in the BaaS market (Blockchain as a Service Cloud). This saves users time since they no longer have to take care of the deployment, which can be time-consuming and complex.

Huawei Cloud Blockchain Service: A Flexible & Inexpensive BaaS Service

In addition, according to Huawei, the Blockchain Service is flexible, efficient, and brings together many consensus algorithms. Deployment is also very inexpensive, and unified management reduces maintenance costs. Security and confidentiality are also in the spotlight within particular functionalities allowing to manage users and permissions on an individual scale.

As of December 3, 2018, the Blockchain Cloud Service is available worldwide on the Huawei Cloud international site. Subsequently, the Chinese giant plans to launch a globally distributed Blockchain platform.

It remains to be seen whether the BCS will succeed in attracting companies outside of China despite suspicions of spying on Huawei. Recall that the firm is banned from the United States and that Germany and France plan to take the same measures.

Also Read: BaaS: What Is Blockchain As A Service

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1. Artificial Intelligence

In 2020, artificial intelligence will continue its technological evolution and new use cases will emerge. Learn about AI trends and predictions for the year ahead.

Artificial intelligence saw a spectacular evolution in 2019, and the exploits achieved thanks to this technology did not stop making headlines. Here’s how AI should continue to evolve in 2020

Artificial intelligence and machine learning will automate many professional and everyday tasks, from truck driving to ship piloting, handling customer calls – and even conducting rudimentary conversations with them.

What we don’t talk enough about, however, is the real impact on the jobs of AI creators and administrators themselves – developers, analysts and data administrators and everyone in the business. the orbit of information technology is responsible for developing these revolutionary systems. In fact, AI will play a role in overcoming the challenges of AI development.

IT and data professionals have a lot to gain from the AI revolution. Some observers see the roles of IT managers and IT professionals becoming greater commercial responsibilities as they have been relieved of much of the tedious work of AI.

2. Internet Of Things (IoT)

Internet of Objects can be defined as a “global infrastructure. Which allows having advanced services by interconnecting objects (physical or virtual) thanks to information technologies and communication ”mentions the International Telecommunication Union.

In detail, the Internet of Things device offers, on the one hand, objects equipped with sensors (temperature, pressure, brightness, consumption measurement, etc.) connected to the Internet in order to collect remote data regularly. data. In addition, the network which allows the connection and the transport of the data produced by the connected objects are in the full structure.

This network can be dedicated. It is then characterized by a mesh of low-consumption, long-range antennas and relaying a low bit rate. It can also be joined to current data networks, such as Edge or 4G, within the framework of 3GPP specifications. Objects connected by an Internet network can also interact with each other.

Taking up the basics of M2M (Machine 2 Machine), this process promises to set up an ecosystem of software objects working in an automated manner. The first applications of the Internet of Things are found in the logistics sectors (RFID and NFC chips). The field of smart cities should take full advantage of the uses of the Internet of Things (air quality, temperature, noise level, condition of buildings).

Home automation is also a sector fond of the Internet of Things (thermostat, smoke, presence detectors, etc.), especially on the aspects of smart meters and security systems. Finally, the health sector could be upset by the establishment of an ecosystem of connected objects.

3. Virtual Reality (VR)

Virtual reality or VR is an immersive, visual, sound and/or haptic interactive computer simulation of real or imaginary environments.

To achieve its immersive objective, the vector of virtual reality takes the form of glasses or a helmet connected to a smartphone or a computer.

Virtual reality became a commercial reality in 2016 with the launch of several consumer products such as Facebook’s Oculus Rift, and Vive d’HTC which offer very advanced experiences, particularly in games or for professional applications through headsets connected to PCs. Samsung offers the Gear VR, a cheaper device connected to a smartphone.

4. Blockchain

Blockchain is a shared registry technology. Unalterable, it is decentralized and does not need a single controlling authority. There are public blockchains, open to everyone, and private blockchains, with limited and controlled access.

By definition, Blockchain is a technology for storing and transmitting information, the advantages of which are transparency, security and decentralized control. It is a database which contains the history of all the exchanges made between its users since its creation.

Among the projects made possible by the Blockchain we can cite cryptocurrencies (bitcoin, ethereum, monero etc.) but the blockchain can be used for other applications. Many experts believe today that it will be the basis of the next technological revolution.

5. Cybersecurity

Also called IT security or systems security, cybersecurity consists in protecting the integrity of data, sensitive or not, within a digital infrastructure.

From the installation of antivirus to the configuration of servers, multi-factor authentication when connecting to an account or even the guarding of data centres, cybersecurity is a vast field. For businesses, the law today requires the implementation of technical and organizational means aimed at protecting information.

In recent years, cyberattacks have multiplied, taking new forms, from simple viruses to ransomware, which is particularly growing.

6. Cloud Computing

Cloud computing is a technology that allows remote access – via the Internet – to IT resources. These resources are part of the infrastructure (server, storage and network; it is then an IaaS offer for “Infrastructure as a Service”) or software (we then speak of SaaS for “Software as a Service”).

This new way of consuming IT leads to a change in the economic model: resources are rented and billing smoothed in the form of a subscription. It also leads to an increase in the number of data centres.

If the public cloud defines elastic infrastructures made available by a service provider outside the company, the private cloud evokes a logic of consumption of internal resources on demand. Finally, the hybrid cloud is a model that brings together the two types of cloud previously mentioned in an entity that combines the advantages and limits of the two architectures.

In this same field, we see multicoloured developing more and more, allowing companies to juggle between the services of several suppliers, and posing the problem of supplier interoperability.

7. Big Data

Big Data is a concept born in the late 1990s and it describes the storage of infinite information on a digital basis. It also means such a large set of data that no conventional database management tool can fully analyze it.

If no precise or universal definition is given to Big Data, it can be conceptualized in the form of a giant and evolving database. Big Data relies on data storage technologies and cloud computing to host this information, as well as data processing technologies to analyze it. Oracle, IBM, Google, Atos, SAS or Criteo are all big data players, each intervening at different levels.

8. Networks & Telecoms

A telecommunications network is a network of telecommunications links and nodes (switches, routers, etc.), set up so that messages can be transmitted from one end of the network to the other through multiple links.

The fixed telephone network is called a switched telephone network and is based on copper links. It is expected to disappear around the 2020s replaced by an all IP (Internet Protocol) network.

Today, there are mainly two types of networks: the fixed Internet network (ADSL, optical fibre) of boxes, which allows Wi-Fi and Ethernet connections, and the cellular network (3G, 4G and soon 5G ) mobile devices to connect to the Internet from anywhere.

9. Robotics

It’s an exciting time to work in the robotics industry. Driven by the growing diversification of the industry, the global sector, whose revenues today total more than $ 100 billion, has experienced rapid growth in recent years.

Industrial robots are no longer the exclusive pre-square of heavy industry or large factories. Collaborative robots, in particular, have helped to broaden the corporate customer base to include medium and even small businesses.

But is this golden age coming to an end? We spoke with Chris Harlow, director of product development at Realtime Robotics, about his predictions for 2020 and beyond. For him, if the good period that the sector is going through should continue, it will not last in all markets.

Particularly with regard to collaborative robots (or “cobots”), these small units have contributed to the expansion of industrial automation beyond large factories. “Demand for robots has peaked due to reduced functionality and capacity,” said Chris Harlow. According to him “by 2025, manufacturers will no longer invest in these systems, and traditional cobots will be replaced by better technology for the human-robot work cell”.

10. Mobility

Mobility means who can move, change place, function. In terms of technology, mobility, therefore, covers all devices that do not have a fixed location and can be used in several places: laptop, smartphone, tablet, wearable …

The most mobile devices for professional use are smartphones and tablets, which guarantee access wherever you are, especially thanks to cellular communication technologies (3G, 4G and soon 5G). There are three operating systems for these mobile devices: iOS (Apple), Android (Google), and Windows (Microsoft), for Surface tablets only.

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